Machine Learning Engineer

Job not on LinkedIn

🕒 September 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ambev

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

📦 Logistics

📣 Marketing

Manufacturing • Logistics • Marketing

Ambev is a Brazilian beverage company that brews, markets and distributes beer, soft drinks and other non-alcoholic beverages across Latin America and beyond. It owns well-known regional brands (e. g. , Skol, Brahma, Antarctica), operates large-scale manufacturing and distribution networks, and is part of the global Anheuser‑Busch InBev group. Ambev focuses on consumer-facing sales, brand marketing, and supply-chain operations for alcoholic and non-alcoholic beverages.

📋 Description

• Develop, deploy, and continuously improve machine learning models for Zé Delivery. • Build and maintain data, feature, training, and inference pipelines at scale. • Develop recommendation and personalization solutions for different stages of the customer journey. • Monitor the performance, quality, and stability of models in production. • Define and analyze experiments, A/B tests, and impact metrics. • Partner with Data, Engineering, Product, and Business teams. • Serve as a technical reference and support the development of more junior professionals. • Contribute to an inclusive, diverse, collaborative, and technology-driven culture at Ambev.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. • At least 5 years of experience in Machine Learning, Data Engineering, Software Engineering, or Data Science applied to production environments. • Proven experience deploying and operating models in production. • Ability to independently lead projects end to end. • Strong communication skills and the ability to translate technical decisions into business impact. • Extensive experience with Python, SQL, PySpark, and cloud platforms, especially AWS or Azure. • Knowledge of MLOps, including data and feature pipelines, CI/CD, version control, model deployment, and monitoring. • Experience with recommendation, personalization, prediction, or classification models. • Knowledge of batch and online inference, APIs, and low-latency systems. • Strong knowledge of machine learning, statistics, software engineering, and distributed systems. • Ability to evaluate models based on quality, scalability, cost, latency, and business impact. • Experience with two-tower models, retrieval, ranking, and embeddings. • Experience with real-time recommendation systems. • Knowledge of Kubernetes, Databricks, MLflow, Airflow, or feature stores. • Experience optimizing cost, latency, and scalability in cloud environments. • Experience in technical leadership.

🏖️ Benefits

• Medical insurance • Dental insurance • Telemedicine • Life insurance • Gympass • Employee discount on company products • Christmas food basket • Toys for employees’ children • Private pension plan • Meal or food allowance • Optional transportation allowance • Attendance bonus equivalent to a 14th salary • Daycare or nanny assistance • Company profit-sharing plan • Merit-based and inclusive environment • Development and career growth opportunities within the company

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